As a new transdermal drug delivery system, microneedles can significantly improve skin permeability, enhance drug transdermal delivery, and demonstrate unique advantages in breaking stratum corneum barrier of skin. This feature enables microneedles to demonstrate enormous potential in delivering biotechnology drugs. The traditional delivery method for biotechnology drugs is mainly injection, which brings problems such as pain and skin redness to patients, leading to poor patient compliance. In addition, the production, transportation, and storage of biotechnology drugs require strict low-temperature conditions to maintain their activity and increase cost output. Microneedles, by contrast, have many benefits, providing new avenues and solutions for biomolecular delivery. Accordingly, this review introduced the microneedle drug delivery system for delivery biotechnology drugs, and summarized the research progress of microneedle systems in biotechnology drugs.

Drug testing involves many analytical instruments and test items, sample pretreatment is tedious, the industry's intelligence level remains low, making drug testing a labour-intensive job. However, in the era of Industry 4.0 intelligent manufacturing, intelligent transformation of the quality control (QC) laboratory has become the focus of industry. At the same time, driven by consistency evaluation of the quality and efficacy of generic drugs and the centralized procurement policies, pharmaceutical companies have intensified their competition, further stimulating the intrinsic demand for laboratory intelligence. Based on the current state and future trends of the pharmaceutical industry, this review discusses the development of a digital and automated QC laboratory. It points out the necessity of transitioning from the traditional centralized laboratory model to an intelligent, distributed quality control model to accommodate continuous manufacturing processes. At the same time, it also analyses the potential challenges in the implementation process and coping strategies, in order to provide relevant practitioners with ideas for building intelligent QC laboratories.

Small molecule drugs comprise multi-dimensional features, and drug creation has to meet requirements such as safety, effectiveness, stability, controllability, and patient compliance. These attributes can be summarized as pharmacological activity and druglikeness, which are implicit in the chemical structure of the drug. Pharmacological activity and adverse reactions are caused by the interaction between drug molecules and on-target or off-target protein. The microstructure of the drug determines the activity/toxicity intensity and selectivity. Pharmacokinetic and physicochemical properties are related to the macroscopic properties of the drug, and the microstructure and macroscopic properties are intertwined and integrated into the molecular structure. Conception and construction of bifunctional molecules are one of routes to achieve "unification of micro and macro" and structurally straighten out the relationship between pharmacodynamics-pharmacokinetics, drug efficacy-adverse reactions (selectivity). This article takes drugs that have been successfully marketed or under clinical trials as examples to explain the structural characteristics of bifunctional molecules from the viewpoint of medicinal chemistry. The productive technical methods include antibody-drug conjugate, proteolysis-targeting chimeras, molecular glues, peptide modifications, and so on. In addition, this overview also classifies covalently binding drugs, transition-state analogs, and prodrugs into the category of bifunctional molecules, emphasizing the importance of bifunctional groups in molecular design and structure optimization.

Proteolysis-targeting chimera (PROTAC), as an emerging treatment method, has become one of the hottest technologies in the field of new drug research with a near-20-year development. PROTAC utilizes the natural ubiquitin-protease system in cells to induce targeted protein degradation, especially for protein of interest that are difficult to target by traditional small molecules. Moreover, PROTAC is expected to solve the problem of drug resistance that often occurs with small molecule drugs. However, the excessive relative molecular weight, poor solubility and membrane permeability, and low oral absorption of PROTAC make it challenging to druggability study. Currently, take pharmacokinetic characteristics as the entry point to continuously optimize and improve, so as to accelerate the transformation of PROTAC from laboratory to clinical application. Based on the basic structure and mechanism of PROTACs, this review introduces its pharmacokinetic properties, analyzes how to design efficient and stable PROTAC molecules, summarizes its current research progress in various diseases treatments, evaluates the development prospects and limitations of PROTAC, in order to provide more references for further research and application of PROTAC.

Human mass balance study is a pivotal research in the field of clinical pharmacology, aiming at elucidating the metabolic and excretion pathways of drugs in humans. Currently, human mass balance studies predominantly employ radiolabeling techniques. Recently, both the U.S. Food and Drug Administration (FDA) and the Center for Drug Evaluation (CDE) of the China National Medical Products Administration (NMPA) issued related research drafts and guidelines to encourage and guide the pharmaceutical industry to conduct research in compliance with established standards. The selection of radiolabeling sites is crucial for obtaining critical information on drug metabolism. However, in vivo biotransformation may lead to partial disintegration of the molecular structure, thereby resulting in the loss of metabolic product information of the unlabeled moiety. Administering drugs with different radiolabeling sites separately or in combination, or labeling multiple radioactive isotopes within one molecule, can effectively solve this problem. This article reviews relevant technological progress, analyzes radiolabeling strategies, and discusses the application of drugs with multiple radiolabeling sites in human mass balance studies.

The high selectivity and affinity of antibody binding make antibodies widely used in therapeutics, diagnostics, and basic sciences. However, the toxicity of some antibodies has limited their utility. In the past decade, by increasing tissue specificity, conditionally active antibodies have further improved the safety and efficacy of antibodies, widened or even created a therapeutic window. Conditionally active antibodies are antibodies activatable under particular stimuli but have little or no antigen-binding activity in circulation and normal tissues. Conditionally active antibodies are designed to respond to endogenous or exogenous stimuli, such as light, temperature, enzymatic activity, pH, adenosine triphosphate (ATP), ions, effector molecules, and antigen combinations. Currently, two pH-activated antibodies have been approved for clinical use, and multiple conditionally active antibodies have entered clinical trials. This article describes the current status of the field of conditionally active antibodies, focusing on the three major types of conditionally active antibodies activated by pH, ATP and protease, including their design principles, implementation methods, relevant examples and the latest research progress. In addition, this review summarizes tumor-associated proteases and discusses the role of several key proteases in the development and progression of cancer, which can provide reference for the research and development of conditionally active antibodies. Many opportunities remain untapped in this field, waiting for more efficient and generally applicable activation strategies to be developed at the interface between chemistry and biotechnology.

The voltage-gated sodium channel subtype Nav1.7 is highly expressed in nociceptive sensory neurons and is a key pathogenic target in several human hereditary pain syndromes. In recent years, a large number of studies have shown that Nav1.7 plays an important role in inflammatory, neuropathic, and nociceptive pain. Therefore, targeting Nav1.7 is a new strategy and hotspot for the development of novel analgesics. This review introduces the structure and function of Nav1.7, its regulatory role in pain, highlights the development progress of small-molecule Nav1.7 inhibitors in clinical trials, and analyzes the preclinical development of highly specific Nav1.7 inhibitors, with a view to providing reference for the development of Nav1.7 analgesic drugs.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.

In recent years, artificial intelligence (AI) technology has advanced rapidly and has been widely applied in various fields such as medicine and pharmacy, accelerating the drug development process. Focusing on the application of AI in the discovery and optimization of lead compounds, this review provides a detailed introduction to AI-assisted virtual screening and molecular generation methods for discovering lead compounds, while particularly highlighting the cases of AI-drived drugs into clinical trials. Additionally, we briefly outline the application of AI basic algorithm models in quantitative structure-activity relationship (QSAR) and drug repurposing, offering insights for AI-based drug discovery.

Tablets represent the most widely used oral solid dosage form in the pharmaceutical industry. Puerarin monohydrate (PUEM), a solid form of the natural antihypertensive drug puerarin, is commercially available. However, the low solubility of PUEM poses a significant challenge for the development of its tablet dosage form. In this study, we successfully prepared the sodium chelates of puerarin (PUE-Na·7H₂O) using reactive crystallization techniques. The crystal structure of PUE-Na·7H₂O was analyzed using single crystal technology, which revealed the structural characteristics of its metal chelate. Our thermodynamic studies demonstrated that the formation of PUE-Na·7H₂O involved the simultaneous deprotonation of PUE and the chelation of PUE^- and Na⁺. This reaction process was spontaneous and exothermic (ΔG < 0, ΔH < 0), and reducing the temperature facilitated the formation of the chelate. Nucleation kinetics studies revealed that chelate molecules were more likely to nucleate and crystallize under low temperature, high concentration, and high rotational speed conditions. Compared to commercially available PUEM, PUE-Na·7H₂O showed significantly improved water solubility, with a 33.5-fold increase in solubility and a 37.6-fold decrease in intrinsic dissolution rate. Our study identified drug-sodium chelation as an effective means for improving drug solubility and elucidated the mechanisms governing its formation kinetics and thermodynamics. These findings could provide new solutions for related product development and tremendous commercial opportunities.